Author

Theresa Ullmann

Medical University of ViennaORCID 0000-0003-1215-8561Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:CITE-seq· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Anne‐Laure BoulesteixiD· 1 shared Chakravarthi KanduriiD· 1 shared Charlotte WürtzeniD· 1 shared Christian L. MülleriD· 1 shared Christin Lund‐AnderseniD· 1 shared Geir Kjetil SandveiD· 1 shared John Mark B. GubataniD· 1 shared Lonneke SchefferiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Anne‐Laure BoulesteixORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 18, 2026

Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML

Milena Pavlović, Charlotte Würtzen, Chakravarthi Kanduri…·Geir Kjetil Sandve

This paper introduces immuneML, a framework for unsupervised machine learning in adaptive immune receptor repertoires, demonstrating its use in generative modeling, clustering, and dataset analysis.

1 citation

CITE-seqmachine learning (classical)

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BioinformaticsPLoS Computational BiologyPeer-reviewedJan 6, 2023

Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering

Theresa Ullmann, Stefanie Peschel, Philipp Finger…·Anne‐Laure Boulesteix

This paper quantifies over-optimism in unsupervised microbiome analysis by comparing results from discovery and validation datasets across three tasks.

16 citations

humanmetagenomics

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